XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround
Built by bochu, XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround is a 2026 billion parameter chat model. XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround is an open-weights chat model with roughly 2026 billion parameters.
by bochu · 2026B parameters
Best for
- complex multi-step reasoning
- agent orchestration with tool use
- long-document analysis and summarisation
Ways to use XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your bochu API key. osFoundry discovers XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
What hardware can run XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround
XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround runs on a multi-GPU setup or H200 141GB at Q4 (~1216 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~4863 GB).
XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround
Is XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround free to use?
XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround need?
Approximately 1216 GB at Q4 quantisation, or 4863 GB at full FP16 precision. Requires multi-GPU at higher quantisation.
Can I run XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround locally?
Yes. XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround best at?
XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround is well-suited to complex multi-step reasoning, agent orchestration with tool use, long-document analysis and summarisation.
How do I use XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround in osFoundry?
Paste your bochu API key in the key dialog (or deploy the open weights for self-hostable models), assign XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by bochu on April 17, 2026. Source: https://huggingface.co/bochu/XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-autoround